Triple
T11041569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reeperbahn S-Bahn station |
E261029
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Hamburg city centre |
E232790
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hamburg city centre | Statement: [Reeperbahn S-Bahn station, connectsTo, Hamburg city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg city centre Context triple: [Reeperbahn S-Bahn station, connectsTo, Hamburg city centre]
-
A.
Hamburg
Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
-
B.
HafenCity, Hamburg
HafenCity, Hamburg is a major urban redevelopment district on the Elbe River that transforms former port and warehouse areas into a modern mixed-use waterfront quarter.
-
C.
Hamburg-Mitte
chosen
Hamburg-Mitte is the central borough of Hamburg, Germany, encompassing the historic city center, major commercial areas, and key cultural and political institutions.
-
D.
Ohlsdorf, Hamburg
Ohlsdorf, Hamburg is a northern district of Hamburg, Germany, best known for containing one of the world’s largest rural cemeteries, Ohlsdorf Cemetery.
-
E.
Gotenhafen
Gotenhafen was the German name for the port city of Gdynia in occupied Poland during World War II, used as a major naval base by the Kriegsmarine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7980050948190ae7b187da5b776ca |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4968fc4f8819081532098e5543318 |
completed | April 19, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:26 p.m.